The canonical approach to analysing the poverty impact of growth is based on the comparison of poverty before and after growth. Measurement tools that endorse this approach fail to capture the different experiences of poverty dynamics in the population: there can be groups of the population made...

The impact of growth on the distribution of income or consumption is regularly debated at both the scientific and policy levels. Within the micro-oriented literature dedicated to growth pro-poorness evaluation issues, the focus is specifically on the poverty impacts of growth. Considering a...

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point...

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point...

On the basis of anonymous (or cross-sectional) analyses, income losses during the Great Recession in a number of European countries were concentrated among the poorest ten per cent of the population. The anonymous approach however, which simply compares the distribution of income at two points...

Assessments of whose income growth is the greatest and whose is the smallest are typically based on comparisons of income changes for income groups (e.g. rich versus poor) or income values (e.g. quantiles). However, income group and quantile composition changes over time because of income...

Assessments of whose income growth is the greatest and whose is the smallest are typically based on comparisons of income changes for income groups (e.g. rich versus poor) or income values (e.g. quantiles). However, income group and quantile composition changes over time because of income...

We examine the determinants of low income transitions using first-order Markov models that control for initial conditions effects (those found to be poor in the base year may be a non-random sample) and for attrition (panel retention may also be non-random). Our econometric model is a form of...

We examine the determinants of low income transitions using first-order Markov models that control for initial conditions effects (those found to be poor in the base year may be a nonrandom sample) and for attrition (panel retention may also be non-random). Our econometric model is a form of...